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Database-style Records: ID/City/Score - Absolute-Beginner Level: core concept mastery Database-style Records: ID/City/Score ABSOLUTE BEGINNER

This skill primer 🌟 worksheet focuses on Database-style Records: ID/City/Score - a key topic in Data Arrangement. You'll solve 20 absolute-beginner-level problems (Worksheet 1 of 10). The primary focus is on core concept mastery. Master database-style records: id/city/score problems, database-style records: id/city/score reasoning questions, and database-style records: id/city/score practice through systematic practice.

📝 Worksheet 1 of 10 • 20 questions • ⏱️ Estimated time: 20 minutes • 🎯 Absolute Beginner level

What you'll learn in this worksheet:
Your progress through Database-style Records: ID/City/Score
Worksheet 1 of 10 (0% complete)

Question 1

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 169 has a higher score than the record from Delhi. - Aarav's score is not the lowest. - The person from Mumbai has an ID greater than 879. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
169 | Priya | Chennai | 97
141 | Xavier | Delhi | 91
835 | Aarav | Hyderabad | 77
617 | Wafa | Mumbai | 95
879 | Laksh | Bengaluru | 84
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 169 has a higher score than the record from Delhi.
- Aarav's score is not the lowest.
- The person from Mumbai has an ID greater than 879.

Question 2

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 963 has a higher score than the record from Bengaluru. - Rhea's score is not the lowest. - The person from Hyderabad has an ID greater than 448. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
224 | Cyrus | Mumbai | 72
173 | Xavier | Bengaluru | 90
963 | Rhea | Chennai | 99
744 | Priya | Hyderabad | 76
448 | Gaurav | Delhi | 86
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 963 has a higher score than the record from Bengaluru.
- Rhea's score is not the lowest.
- The person from Hyderabad has an ID greater than 448.

Question 3

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 387 has a higher score than the record from Hyderabad. - Aarav's score is not the lowest. - The person from Mumbai has an ID greater than 113. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
387 | Nihal | Chennai | 91
889 | Xavier | Hyderabad | 81
794 | Aarav | Delhi | 89
309 | Mira | Mumbai | 88
113 | Ira | Bengaluru | 87
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 387 has a higher score than the record from Hyderabad.
- Aarav's score is not the lowest.
- The person from Mumbai has an ID greater than 113.

Question 4

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 125 has a higher score than the record from Bengaluru. - Tara's score is not the lowest. - The person from Hyderabad has an ID greater than 430. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
210 | Vihaan | Mumbai | 85
569 | Omar | Bengaluru | 76
125 | Tara | Chennai | 99
352 | Kaira | Hyderabad | 72
430 | Jatin | Delhi | 78
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 125 has a higher score than the record from Bengaluru.
- Tara's score is not the lowest.
- The person from Hyderabad has an ID greater than 430.

Question 5

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 824 has a higher score than the record from Delhi. - Cyrus's score is not the lowest. - The person from Bengaluru has an ID greater than 376. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
752 | Eshan | Mumbai | 81
965 | Zoya | Delhi | 86
959 | Cyrus | Chennai | 90
824 | Laksh | Bengaluru | 97
376 | Xavier | Hyderabad | 89
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 824 has a higher score than the record from Delhi.
- Cyrus's score is not the lowest.
- The person from Bengaluru has an ID greater than 376.

Question 6

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 409 has a higher score than the record from Bengaluru. - Diya's score is not the lowest. - The person from Mumbai has an ID greater than 409. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
257 | Uma | Hyderabad | 70
637 | Xavier | Bengaluru | 87
640 | Diya | Chennai | 77
493 | Sahil | Mumbai | 75
409 | Ira | Delhi | 96
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 409 has a higher score than the record from Bengaluru.
- Diya's score is not the lowest.
- The person from Mumbai has an ID greater than 409.

Question 7

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 420 has a higher score than the record from Chennai. - Cyrus's score is not the lowest. - The person from Mumbai has an ID greater than 420. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
362 | Hina | Bengaluru | 87
667 | Uma | Chennai | 73
655 | Cyrus | Hyderabad | 79
217 | Vihaan | Mumbai | 77
420 | Laksh | Delhi | 94
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 420 has a higher score than the record from Chennai.
- Cyrus's score is not the lowest.
- The person from Mumbai has an ID greater than 420.

Question 8

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 894 has a higher score than the record from Chennai. - Hina's score is not the lowest. - The person from Delhi has an ID greater than 541. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
894 | Fatima | Bengaluru | 99
819 | Sahil | Chennai | 89
886 | Hina | Mumbai | 77
476 | Priya | Delhi | 74
541 | Bhavya | Hyderabad | 88
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 894 has a higher score than the record from Chennai.
- Hina's score is not the lowest.
- The person from Delhi has an ID greater than 541.

Question 9

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 701 has a higher score than the record from Hyderabad. - Ira's score is not the lowest. - The person from Chennai has an ID greater than 678. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
809 | Gaurav | Mumbai | 76
429 | Priya | Hyderabad | 90
208 | Ira | Delhi | 80
701 | Omar | Chennai | 91
678 | Tara | Bengaluru | 81
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 701 has a higher score than the record from Hyderabad.
- Ira's score is not the lowest.
- The person from Chennai has an ID greater than 678.

Question 10

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 530 has a higher score than the record from Mumbai. - Zoya's score is not the lowest. - The person from Hyderabad has an ID greater than 219. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
255 | Yash | Bengaluru | 72
530 | Wafa | Mumbai | 95
851 | Zoya | Chennai | 82
842 | Sahil | Hyderabad | 93
219 | Hina | Delhi | 78
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 530 has a higher score than the record from Mumbai.
- Zoya's score is not the lowest.
- The person from Hyderabad has an ID greater than 219.

Question 11

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 376 has a higher score than the record from Hyderabad. - Yash's score is not the lowest. - The person from Chennai has an ID greater than 440. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
905 | Gaurav | Bengaluru | 75
790 | Ira | Hyderabad | 77
858 | Yash | Mumbai | 88
376 | Priya | Chennai | 97
440 | Hina | Delhi | 83
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 376 has a higher score than the record from Hyderabad.
- Yash's score is not the lowest.
- The person from Chennai has an ID greater than 440.

Question 12

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 269 has a higher score than the record from Chennai. - Mira's score is not the lowest. - The person from Bengaluru has an ID greater than 181. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
622 | Priya | Hyderabad | 76
269 | Vihaan | Chennai | 81
315 | Mira | Mumbai | 78
720 | Uma | Bengaluru | 79
181 | Qadir | Delhi | 70
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 269 has a higher score than the record from Chennai.
- Mira's score is not the lowest.
- The person from Bengaluru has an ID greater than 181.

Question 13

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 704 has a higher score than the record from Mumbai. - Qadir's score is not the lowest. - The person from Chennai has an ID greater than 754. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
704 | Aarav | Delhi | 96
252 | Laksh | Mumbai | 87
170 | Qadir | Hyderabad | 89
200 | Jatin | Chennai | 76
754 | Mira | Bengaluru | 70
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 704 has a higher score than the record from Mumbai.
- Qadir's score is not the lowest.
- The person from Chennai has an ID greater than 754.

Question 14

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 376 has a higher score than the record from Hyderabad. - Fatima's score is not the lowest. - The person from Mumbai has an ID greater than 356. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
376 | Ira | Chennai | 94
711 | Tara | Hyderabad | 75
476 | Fatima | Bengaluru | 89
440 | Kaira | Mumbai | 74
356 | Xavier | Delhi | 92
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 376 has a higher score than the record from Hyderabad.
- Fatima's score is not the lowest.
- The person from Mumbai has an ID greater than 356.

Question 15

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 614 has a higher score than the record from Mumbai. - Laksh's score is not the lowest. - The person from Hyderabad has an ID greater than 994. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
614 | Nihal | Bengaluru | 97
617 | Sahil | Mumbai | 74
444 | Laksh | Delhi | 90
233 | Wafa | Hyderabad | 77
994 | Gaurav | Chennai | 75
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 614 has a higher score than the record from Mumbai.
- Laksh's score is not the lowest.
- The person from Hyderabad has an ID greater than 994.

Question 16

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 808 has a higher score than the record from Bengaluru. - Zoya's score is not the lowest. - The person from Mumbai has an ID greater than 758. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
656 | Uma | Hyderabad | 97
328 | Fatima | Bengaluru | 73
574 | Zoya | Delhi | 76
808 | Hina | Mumbai | 99
758 | Wafa | Chennai | 70
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 808 has a higher score than the record from Bengaluru.
- Zoya's score is not the lowest.
- The person from Mumbai has an ID greater than 758.

Question 17

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 140 has a higher score than the record from Chennai. - Zoya's score is not the lowest. - The person from Hyderabad has an ID greater than 140. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
646 | Fatima | Delhi | 94
121 | Tara | Chennai | 73
756 | Zoya | Mumbai | 77
160 | Eshan | Hyderabad | 74
140 | Qadir | Bengaluru | 97
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 140 has a higher score than the record from Chennai.
- Zoya's score is not the lowest.
- The person from Hyderabad has an ID greater than 140.

Question 18

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 195 has a higher score than the record from Bengaluru. - Diya's score is not the lowest. - The person from Mumbai has an ID greater than 447. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
195 | Bhavya | Chennai | 99
854 | Vihaan | Bengaluru | 74
893 | Diya | Delhi | 84
118 | Laksh | Mumbai | 81
447 | Nihal | Hyderabad | 80
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 195 has a higher score than the record from Bengaluru.
- Diya's score is not the lowest.
- The person from Mumbai has an ID greater than 447.

Question 19

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 807 has a higher score than the record from Bengaluru. - Xavier's score is not the lowest. - The person from Delhi has an ID greater than 716. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
504 | Kaira | Chennai | 87
107 | Laksh | Bengaluru | 70
512 | Xavier | Mumbai | 77
807 | Yash | Delhi | 89
716 | Diya | Hyderabad | 85
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 807 has a higher score than the record from Bengaluru.
- Xavier's score is not the lowest.
- The person from Delhi has an ID greater than 716.

Question 20

Consider the following five database-like records with unique fields (ID, Name, City, Score). Using the clues, determine relationships and answer: - The record with ID 767 has a higher score than the record from Mumbai. - Xavier's score is not the lowest. - The person from Delhi has an ID greater than 849. Question: Which city corresponds to the highest score?
Relational Reasoning (DB-style)
Think in terms of unique-key constraints across fields (ID, Name, City, Score).
ID | Name | City | Score
--- | --- | --- | ---
172 | Vihaan | Hyderabad | 78
266 | Hina | Mumbai | 76
767 | Xavier | Bengaluru | 97
319 | Zoya | Delhi | 72
849 | Cyrus | Chennai | 82
Use comparative score clues and ID inequalities to identify maxima/minima.
Verification:
- The record with ID 767 has a higher score than the record from Mumbai.
- Xavier's score is not the lowest.
- The person from Delhi has an ID greater than 849.
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